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Detection of outlier with mahanalobis distance which have access of the parameters (means and precision matrice) with algo GMM or Bayesian GMM provide by sklearn
pip install mdo-outlier-detector
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.1.0,>=1.0.5<0.24.0,>=0.23.1==0.0mdo-outlier-detector publishes 1 wheel and 0 source archives for version 0.2.2. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .